2 months ago
Prague, CzechiaSenior
Responsibilities
- Design, build, and maintain scalable, reliable, and cost-effective AI platform infrastructure in the cloud.
- Collaborate with Research to translate model requirements into scalable production infrastructure.
- Improve data pipelines, feature storage, experiment tracking, and model lifecycle workflows.
- Build tooling for experimentation, benchmarking, and reproducibility.
- Implement monitoring, observability, and reliability improvements across AI services.
- Contribute to architecture discussions and long-term platform strategy.
- Partner with Product, Research, and engineering teams to align platform capabilities with product needs.
- Maintain documentation and support knowledge-sharing across R&D.
Requirements
- 5+ years of experience in product-minded software engineering, ML platform engineering, or infrastructure roles.
- Proven experience delivering ML solutions with measurable business and customer impact.
- Strong programming experience in a language suitable for ML, such as Python.
- Understanding of distributed systems, microservices, and cloud-native architectures.
- Experience with SQL databases, including query optimization, performance tuning, and schema design.
- Experience with ML tooling such as experiment tracking, model registries, and data pipelines.
- Strong problem-solving skills and ability to work in cross-functional R&D environments.
- Understanding of CI/CD, infrastructure-as-code, and observability tooling.
- Ability to communicate internally in English.
- Preferred experience includes training or serving AI/ML models at scale, scalable ETL/ELT pipelines, SQL/NoSQL database architectures, data annotation and dataset management, GPU workloads, batch or stream processing, feature stores, Intelligent Document Processing, and deep neural network architectures.
Benefits
- Work on proprietary T-LLM architectures designed and trained in-house, with high-end GPU and large-memory compute clusters.
- Work on high-scale transaction data and systems used by companies globally, with direct ownership from research through production.
- Access to frontier LLMs and an experiment-driven culture with quarterly recognition for standout research contributions.
- 33 days off including PTO, personal days, a birthday day, and two company wellness days, plus parental leave.
- Prague Karlín workspace with full technical setup and a 200 m² terrace.
Tech Stack
Categories
About Rossum
Rossum builds an AI-driven intelligent document processing platform used by enterprises to capture, extract, and validate data from invoices and other transactional documents, often for Accounts Payable workflows. Delivered as SaaS with integrations to systems like SAP, NetSuite, Coupa, and Workday, it combines a proprietary transactional LLM with human-in-the-loop review. Founded in 2017 and headquartered in London, Rossum is now part of Coupa.